Applications are due on 4/1 at 5:00pm
Teams of student fellows will work together on a project with significant social impact under the guidance of Stanford faculty and senior researchers.
Student fellows will spend the summer working on a project. The program will run Monday, July 15th to Friday, September 13th at Stanford University. The students will be closely mentored to develop the following data science skills:
- Coding (R/Python, git, etc. )
The following faculty mentors will work closely with the program throughout the summer: Balasubramanian Narasimhan, Chiara Sabatti, Suzanne Tamang, and James Zou.
Description of role
Student fellow responsibilities during the program:
Work on a data science project full-time on their team at the coworking space
Engage deeply to both learn data science skills and help other students learn data science skills
Student fellows will come from diverse backgrounds with different prior skill sets. However all student fellows
should have the following skills:
Some experience coding in either R or Python
Some statistics training including coursework
Demonstrated ability to work well on a team
An example day in the life:
Participate in a standup meeting with the team to set priorities for the day
Work with another student fellow on a coding task
Prepare an update to the rest of the team
Attend a training session on using R/Python for data science
Get stuck writing code and ask a mentor for help
Prepare a presentation updating the rest of the program on your team’s progress
Funding is available for this position. Fellows will receive a stipend for participating in the program.
Do I need to be a Stanford student to be a student fellow?
We expect student fellows to be Stanford undergraduate students, graduate students, or postdocs, but we’re
open to considering other Stanford affiliates. Please reach out and we’ll consider on a case-by-case basis.
Do student fellows need to work full-time? Will I have time to work on my research?
During the workday in the 8-week program, student fellows are expected to be focused on their project.
Which project would I work on?
We are still finalizing projects. The projects in the campus call are not the only possibilities. We encourage student fellows to be open to working on any of a few interesting, challenging, and high-impact projects.
How can I submit my idea for a project that should be part of the program?
Please reach out to the email address below and we will consider on a case-by-case basis.
I have some technical skills and I’m not sure if I should apply as a mentor or a student.
If you’re fluent in R or Python, git, and have extensive statistical knowledge, you are likely qualified to apply as a mentor. If not, we encourage you to apply as a student. Feel free to reach out for a more specific answer to your particular case.
Please contact firstname.lastname@example.org with any additional questions.